ML Audio Engineer

At Motorola Solutions we believe that everything starts with our people. Were a global close-knit community united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people property and places. Our solutions foster the collaboration thats critical for safer communities safer schools safer hospitals safer businesses and ultimately safer nations. Connect with a career that matters and help us build a safer future.

• Design train and iterate on deep learning models for acoustic classification against noisy real-world audio.
• Enhance and optimize audio lineups for sound classification
• Build and maintain the data pipeline: field recordings augmentation labeling dataset versioning.
• Optimize models for edge deployment to meet latency and power budgets.
• MLOps stack: training infra experiment tracking reproducible pipelines deployed-model monitoring.

Small team broad ownership short loop between model and field. Super interesting job. Your work directly determines whether the system meets its targets.

• 25 yrs ML engineering
• in EE or Computer Science
• Experience with audio processing microphone arrays
• Hands-on model deployment to constrained hardware (quantization conversion runtime tuning).
• MLOps practices experience: dataset versioning experiment tracking reproducible training.

• Beamforming Acoustic event detection sound classification or related DSP-heavy ML.
• Comfort with field work and iterating on hardware.

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion or belief sex sexual orientation gender identity national origin disability veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If youd like to join our team but feel that you dont quite meet all of the preferred skills wed still love to hear why you think youd be a great addition to our team.